DocumentCode :
2532070
Title :
Extracting and converting quantitative data into human error probabilities
Author :
Tran, Tuan Q. ; Boring, Ronald L. ; Joe, Jeffrey C. ; Griffith, Candice D.
Author_Institution :
Human Factors & I&C Systems Dept., Idaho National Laboratory, Idaho Falls, ID, USA
fYear :
2007
fDate :
26-31 Aug. 2007
Firstpage :
164
Lastpage :
169
Abstract :
This paper discusses a proposed method using a combination of advanced statistical approaches (e.g., meta-analysis, regression, structural equation modeling) that will not only convert different empirical results into a common metric for scaling individual PSFs effects, but will also examine the complex interrelationships among PSFs. Furthermore, the paper discusses how the derived statistical estimates (i.e., effect sizes) can be mapped onto a HRA method (e.g. SPAR-H) to generate HEPs that can then be use in probabilistic risk assessment (PRA). The paper concludes with a discussion of the benefits of using academic literature in assisting HRA analysts in generating sound HEPs and HRA developers in validating current HRA models and formulating new HRA models.
Keywords :
Data mining; Degradation; Differential equations; Ergonomics; Error probability; Human factors; Performance analysis; Risk management; Stress; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human Factors and Power Plants and HPRCT 13th Annual Meeting, 2007 IEEE 8th
Conference_Location :
Monterey, CA, USA
Print_ISBN :
978-1-4244-0306-6
Electronic_ISBN :
978-1-4244-0306-6
Type :
conf
DOI :
10.1109/HFPP.2007.4413200
Filename :
4413200
Link To Document :
بازگشت